Di Miao
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education 3
- Health Information Management top 10%
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- Food composition and properties 4
- Microbial Metabolites in Food Biotechnology 3
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- Polysaccharides Composition and Applications 4
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- EEG and Brain-Computer Interfaces 3
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- Privacy-Preserving Technologies in Data 3
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- Face and Expression Recognition 3
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- Gaze Tracking and Assistive Technology 2
- Co-authors
- Daniel Shu Wei TingNan LiuZhenan SunYangyong DaiYong ZhangZhen Ling TeoLiyuan JinTing Fang Tan
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)International Journal of Biological Macromolecules (4 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Di Miao
17 papers receiving 232 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 57
- Health Information Management 16
- Nutrition and Dietetics 40
- Signal Processing 26
- Food Science 32
Countries citing papers authored by Di Miao
This map shows the geographic impact of Di Miao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Di Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Miao more than expected).
Fields of papers citing papers by Di Miao
This network shows the impact of papers produced by Di Miao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Di Miao. The network helps show where Di Miao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Di Miao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 3 | |
| 3 | Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklistbreakdown → | 2024 | 64 |
| 4 | 2024 | 50 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 16 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 0 | |
| 12 | 2016 | 17 | |
| 13 | 2015 | 4 | |
| 14 | 2015 | 5 | |
| 15 | 2014 | 6 | |
| 16 | 2009 | 17 | |
| 17 | A QUANTITATIVE MEASUREMENT OF BRAIN COGNITIVE FUNCTION BASED ON HUMAN VOICE SEPARATION ABILITY | 2008 | 1 |
| 18 | Measurement of functional auditory intelligence in humans based on intermittent audio signals | 2007 | 1 |
| 19 | 2007 | 1 | |
| 20 | 2007 | 1 |
About Di Miao
Di Miao is a scholar working on Health Informatics, Signal Processing and Human-Computer Interaction, having authored 20 papers that have together received 239 indexed citations. Recurring topics across this work include Food composition and properties (4 papers), Polysaccharides Composition and Applications (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), EEG and Brain-Computer Interfaces (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Privacy-Preserving Technologies in Data (3 papers), Face and Expression Recognition (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Health Informatics (57 citations), Health Information Management (16 citations) and Nutrition and Dietetics (40 citations). Di Miao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Daniel Shu Wei Ting, Nan Liu, Zhenan Sun, Yangyong Dai, Yong Zhang, Zhen Ling Teo, Liyuan Jin, Ting Fang Tan, Chen Li and Wei Yan Ng. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Biological Macromolecules.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.